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2019 | Book

Background of Air Insulation Prediction Research Read chapter Read first chapter

Air Insulation Prediction Theory and Applications

Authors: Zhibin Qiu, Prof. Jiangjun Ruan, Shengwen Shu

Publisher: Springer Singapore

Book Series : Power Systems

Part of: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik"

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Table of Contents

Frontmatter
Chapter 1. Background of Air Insulation Prediction Research
Abstract
The background of air insulation prediction research is briefly reviewed in this chapter, including the research and development on air discharge tests, discharge theories and physical models. Some beneficial inspirations extracted from the existing researches are concluded. The research assumption of air insulation prediction is described, mainly including the research ideas, implementation method and key technologies. The contents of this book is briefly introduced.
Zhibin Qiu, Jiangjun Ruan, Shengwen Shu
Chapter 2. Theoretical Foundation of Air Insulation Prediction
Abstract
Air insulation mainly depends on the macro factors including gap structure, applied voltage waveform and air conditions. In this chapter, the influence factors of air discharge are briefly analyzed, and the energy storage features of an air gap, consist of the electric field distribution features and the voltage waveform features are detailed introduced. Finally, the space mapping idea and its application in air insulation prediction are illustrated in detail.
Zhibin Qiu, Jiangjun Ruan, Shengwen Shu
Chapter 3. Air Gap Discharge Voltage Prediction Model
Abstract
The proposed air insulation prediction model is established based on support vector machine. In this chapter, the theoretical basis and implementation procedure of the prediction method are introduced in detail, mainly including the fundamental of statistical learning theory and SVM, the parameter optimization methods, the feature dimension reduction methods, the sample selection method, the error analysis method and the implementation process of the prediction model.
Zhibin Qiu, Jiangjun Ruan, Shengwen Shu
Chapter 4. Corona Onset Voltage Prediction of Electrode Structures
Abstract
Corona discharge is a unique self-sustained gas discharge form in extremely nonuniform electric field. The determination of corona onset voltage is of vital importance for corona control of high voltage conductors and hardware. This chapter firstly introduces the basic characteristics of corona discharge and the estimation method of corona onset voltage and electric field strength. Then the air insulation prediction model is used to predict the corona onset voltages and electric field strengths of rod-plane electrodes, stranded conductors and valve hall fittings used in converter stations.
Zhibin Qiu, Jiangjun Ruan, Shengwen Shu
Chapter 5. Power Frequency Breakdown Voltage Prediction of Air Gaps
Abstract
Air gap breakdown voltage is an important basis for the design of air insulation structure, which is related to applied voltage type and voltage waveform. The power frequency AC voltage and DC voltage are collectively called steady-state voltage or continuous voltage. Their change rates are very small, so the discharge development time is negligible compared with the voltage change rate. In this chapter, the air gap breakdown characteristics under steady-state voltage are introduced firstly, and then the air insulation prediction model is used to predict the power frequency breakdown voltages of air gaps with typical and atypical electrodes.
Zhibin Qiu, Jiangjun Ruan, Shengwen Shu
Chapter 6. Impulse Discharge Voltage Prediction of Air Gaps
Abstract
The lightning overvoltage and switching overvoltage in power systems are both impulse voltages with short duration time and large change rate, under which the air gap breakdown characteristics are different from those under steady voltages. This chapter firstly introduces the air gap breakdown characteristics under lightning and switching impulse voltages. Then, the air insulation prediction model is used to predict the switching impulse discharge voltages, lightning impulse discharge voltages and volt-time characteristic curves of air gaps with different geometries and under different voltage waveforms.
Zhibin Qiu, Jiangjun Ruan, Shengwen Shu
Chapter 7. Engineering Applications of Air Insulation Prediction Model
Abstract
The gap configurations in power transmission and transformation projects are complex and diverse. The costly and time-consuming full-scale discharge tests cannot exhaustively reproduce all the gap configurations in engineering practice, and the acquired fitting relationships between the discharge voltage and the gap distance are often limited to specific gap geometries and experimental arrangements. Therefore, once the gap configuration changes, repeated tests should be carried out to obtain its discharge characteristics and measure its insulation strength. In this chapter, three common engineering gap structures are selected as the research objects, including the insulator parallel gaps, transmission line-tower body or window gaps and complex gaps for helicopter live-line work. The proposed SVM model is applied to predict their discharge voltages.
Zhibin Qiu, Jiangjun Ruan, Shengwen Shu
Metadata
Title
Air Insulation Prediction Theory and Applications
Authors
Zhibin Qiu
Prof. Jiangjun Ruan
Shengwen Shu
Copyright Year
2019
Publisher
Springer Singapore
Electronic ISBN
978-981-10-5163-0
Print ISBN
978-981-10-5162-3
DOI
https://doi.org/10.1007/978-981-10-5163-0